ONLINE SYNCHRONOUS MACHINE PARAMETER-ESTIMATION FROM SMALL DISTURBANCE OPERATING DATA

被引：50

作者：

TSAI, H ^{[1
]}

KEYHANI, A ^{[1
]}

DEMCKO, J ^{[1
]}

FARMER, RG ^{[1
]}

机构：

[1] ARIZONA PUBL SERV CO,DEPT TECH PROJECTS,PHOENIX,AZ 85072

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 1995年 / 10卷 / 01期

基金：

美国国家科学基金会;

关键词：

SYNCHRONOUS MACHINE SATURATION; ONLINE MODELING; SYNCHRONOUS MACHINE SMALL DISTURBANCE RESPONSES;

D O I：

10.1109/60.372565

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents a step-by-step system identification approach to estimate the parameters of a three-phase salient-pole synchronous machine rated at 5 kVA from on-line small disturbance responses. The machine equivalent circuit model linear parameters and the nonlinear saturated parameters are estimated. The estimation is performed using the Maximum Likelihood algorithm. Simulation studies based on the on-line measured small and large dynamic disturbances are performed to validate the accuracy of the identified machine model including the saturation.

引用

页码：25 / 36

页数：12

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